AI-Powered Workflow Assistant

Case Overview Struggling to stay productive? This AI-powered workflow assistant streamlines tasks like timesheet completion, uncovers productivity trends, and generates detailed performance reports. With personalized insights from behavioral analysis, it empowers organizations to craft data-driven Statements of Work effortlessly. CHALLENGE Employees and organization’s face the challenge of tracking and managing individual productivity efficiently. Employees struggle…

Competitive Intelligence with Agentic AI

Overview Don’t let your competitors’ next move blindside you. Our AI-powered competitive intelligence platform turns market noise into actionable insights, helping you stay three steps ahead. While your rivals are reacting, you’ll be leading. CHALLENGE Understanding the market landscape requires extensive research to identify competitors, analyze features, and visualize data, often leading to inefficiencies and…

Adaptive AI for Personalized Home Management Solutions

Overview Maintaining static data, maintenance sheets, and seasonal calendars is a crucial yet challenging aspect of home management. The current approach relies heavily on manually managed data, making it inefficient and difficult to scale. Our adaptive, AI-driven solution eliminates these challenges by dynamically generating personalised tasks tailored to the unique characteristics of each household. CHALLENGE…

Transforming Recruitment Through AI

Overview Traditional hiring processes often overwhelm recruiters with inefficiencies, consuming valuable time and delaying results. With a smarter, AI-driven approach, recruitment can evolve to deliver faster, more accurate candidate matches, transforming the way talent is acquired CHALLENGE The traditional recruitment process involves significant manual effort in shortlisting resumes, preparing interview questions, and conducting initial screenings.…

Why Every Tech Team Needs ADRs

Introduction Documentation is fundamental in software development, especially for capturing software architectures and the rationale behind key decisions.  Recording both what was decided and why it was decided, fosters a product-focused mindset that supports system design and provides a framework to validate implemented choices.  At Indexnine, a product engineering services company, we have effectively leveraged…

Naming Design Tokens

Token Names Effective token names improve and sustain a team’s shared understanding of visual style through design, code, and other interdisciplinary handoffs. Terms matter.We must be able to browse and search tools to quickly recognize and recall the purposeful decisions we’ve made. Complicated tokens comprise of many levels   As tokens become more sophisticated, naming…

Moving from Monolith to Microservices?

In today’s rapidly evolving digital landscape, agility, scalability, and resilience are paramount for business success. Many organizations are transitioning from monolithic architectures to microservices to meet these demands. This shift, while rewarding, requires careful planning and execution.  This blog post will explore the why, what, and how of transitioning from a monolithic to a microservices…

QA Automation Lead

Apply Now Key Responsibilities: ● Extensive testing experience with Web Based Application.● Analyzing the Requirements● Prepare Test Scenarios● Prepare Test Cases for module, integration and system testing● Compile Test Data for the test cases● Setup Test Environment to execute the test cases● Analyze the Test Cases prepared by other team members● Executing the Test Cases…

Performance Engineer

Apply Now Job Description : We are seeking a highly skilled Performance Engineer with 5-7 years of experience to join our dynamic team. The ideal candidate will have a strong background in performance testing, specifically with extensive knowledge and hands-on experience in JMeter scripting and performance test execution. Knowledge of Locust.io is an added advantage.…

Unlocking Reliability in AI with an Agentic Testing Approach

Testing LLMs Large Language Models (LLMs) have become integral to various industries, revolutionising AI-driven operations. Their ability to generate human-like text, understand context, and perform complex tasks has made them invaluable across numerous applications. However, this power comes with significant responsibilities and risks: Accuracy and Reliability: LLMs can sometimes produce incorrect or inconsistent information, which…